MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method

ArXi:2605.06309v1 Announce Type: new Laughter is a social non-vocalization that is universal across cultures and languages, and is crucial for human communication, including social bonding and communication signaling. However, detecting laughter in audio is a challenging task, and segmenting is even difficult. Currently, Machine Learning methods generally rely on costly manual annotation, and their datasets are mostly based on English contexts.